Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gethouston/houston --skill perguntar-sobre-meus-dadosgit clone --depth 1 https://github.com/gethouston/houstonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gethouston/houston/perguntar-sobre-meus-dados)<a href="https://agentmods.dev/skills/gethouston/houston/perguntar-sobre-meus-dados"><img src="https://agentmods.dev/badge/skills/gethouston/houston/perguntar-sobre-meus-dados/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gethouston/houston/perguntar-sobre-meus-dados"><img src="https://agentmods.dev/badge/skills/gethouston/houston/perguntar-sobre-meus-dados.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.01868 |
| Opus 5 | $0.00041 | $0.00934 |
| Sonnet 5 | $0.00016 | $0.00374 |
| Haiku 4.5 | $0.00008 | $0.00187 |
Grade A, and why
perguntar-sobre-meus-dados scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perguntar Sobre Meus Dados
Quando usar
O usuário fez uma pergunta sobre dados. Qualquer coisa formulada como "quantos," "qual é," "top N por," "tendência de," "compare X com Y," "por que Z mudou." Traduzo para SQL, executo com segurança, retorno o resultado com citações.
Conexões que preciso
Executo trabalho externo através do Composio. Antes de esta habilidade rodar, verifico se as categorias abaixo estão conectadas. Se faltar alguma, nomeio a categoria, peço para você conectar na aba Integrações, e paro.
- Warehouse / fonte de dados (Postgres, BigQuery, Snowflake, Redshift) - Obrigatório. Executo SQL somente leitura aqui. Sem warehouse, sem resposta.
Se nenhum warehouse estiver conectado, paro e peço para você conectar seu warehouse primeiro.
Informações que preciso
Leio o seu contexto operacional primeiro. Para cada campo obrigatório que estiver faltando, faço UMA pergunta em linguagem simples (melhor modalidade: app conectado > envio de arquivo > URL > colar) e espero.
- Onde os dados estão - Obrigatório. Por que preciso: preciso saber qual warehouse consultar e qual dialeto SQL usar. Se faltar, pergunto: "Onde esses dados estão? O ideal é conectar seu warehouse na aba Integrações e me dizer qual usar."
- Limites de custo - Opcional. Por que preciso: aviso antes de rodar algo que vá escanear mais do que seu limite. Se você não tiver isso, sigo em frente com TBD e uso um padrão conservador de 100 GB escaneados.
- Esquemas das tabelas - Opcional. Por que preciso: me permite redigir SQL preciso sem chutar nomes de colunas. Se você não tiver isso, eu inspeciono o warehouse na hora.
- Documento de contexto operacional - Obrigatório. Por que preciso: ancora o que "esse número parece estranho" significa em relação às suas prioridades. Se faltar, pergunto: "Quer que eu configure seu contexto operacional primeiro? Ajuda a identificar resultados suspeitos."
Regras rígidas
- Somente leitura. Qualquer consulta proposta contendo
INSERT,UPDATE,DELETE,MERGE,DROP,CREATE,ALTER,TRUNCATE,GRANT, ouREVOKEé recusada imediatamente. - Aviso antes de executar uma consulta potencialmente custosa. Uso a
ferramenta explain / dry-run do warehouse (descubro via
composio search warehouse explainou equivalente do provedor) para estimar bytes escaneados + tempo de execução. Comparo comconfig/data-sources.json→costCeilingScannedGbecostCeilingSecondspara a fonte alvo. Se excedido, informo a estimativa, espero a aprovação explícita. - Todo resultado sai com: o SQL exato, o horário de execução, a contagem de linhas, qualquer ressalva de qualidade de dados.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 141 lines · 81 tokens per session scan A aeb3f4aedb83
perguntar-sobre-meus-dados is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,868 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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